cdaf93634b49f3a5749adbe359c2169c51f0a6fe,tslearn/neighbors.py,KNeighborsTimeSeriesMixin,kneighbors,#KNeighborsTimeSeriesMixin#Any#Any#Any#,20

Before Change

            X = self._fit_X
            self_neighbors = True
        else:
            X = to_time_series_dataset(X)
        if self.metric == "dtw":
            cdist_fun = cdist_dtw
        elif self.metric in ["euclidean", "sqeuclidean", "cityblock"]:
            cdist_fun = lambda X, Xp: scipy_cdist(X.reshape((X.shape[0], -1)),

After Change

        if X.ndim == 2:  // sklearn-format case
            X = X.reshape((X.shape[0], -1, self.d))
            fit_X = self._fit_X.reshape((self._fit_X.shape[0], -1, self.d))
        else:
            fit_X = self._fit_X

Instances